Product News.
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| Title: | Product News. |
|---|---|
| Source: | Journal of Failure Analysis & Prevention. Feb2024, Vol. 24 Issue 1, p32-36. 5p. |
| Subjects: | Materials science, Liquid iron, Manufacturing processes, Iron ores, Superionic conductors |
| Abstract: | Instron, a company based in Massachusetts, has released a Precision Specimen Loader that improves accuracy, safety, and efficiency when conducting mechanical testing on delicate foil specimens and thin films. The device consists of a width block, linear rail, and alignment clip, and it reduces fatigue and minimizes safety risks for operators. The Precision Specimen Loader is compatible with certain grips and complies with applicable standards. In other news, Ipsen has shipped a vacuum furnace to Tratamientos Termicos Avanzados in Mexico, and EAG Laboratories has announced the availability of Plasma FIB services. Additionally, researchers at the University of Maryland have developed a technology to prevent damage in lithium batteries, and researchers at the University of Illinois Urbana-Champaign have found a way to stabilize nanoscale precipitates in alloys. Lastly, researchers at the Fraunhofer Institute have developed a deep learning model for objective and automated assessment of grain size in steel, and Stanford researchers have identified the cause of technical challenges in hydrogen-based steel production. [Extracted from the article] |
| Copyright of Journal of Failure Analysis & Prevention is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 176080139 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Product News. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Failure+Analysis+%26+Prevention%22">Journal of Failure Analysis & Prevention</searchLink>. Feb2024, Vol. 24 Issue 1, p32-36. 5p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Materials+science%22">Materials science</searchLink><br /><searchLink fieldCode="DE" term="%22Liquid+iron%22">Liquid iron</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Iron+ores%22">Iron ores</searchLink><br /><searchLink fieldCode="DE" term="%22Superionic+conductors%22">Superionic conductors</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Instron, a company based in Massachusetts, has released a Precision Specimen Loader that improves accuracy, safety, and efficiency when conducting mechanical testing on delicate foil specimens and thin films. The device consists of a width block, linear rail, and alignment clip, and it reduces fatigue and minimizes safety risks for operators. The Precision Specimen Loader is compatible with certain grips and complies with applicable standards. In other news, Ipsen has shipped a vacuum furnace to Tratamientos Termicos Avanzados in Mexico, and EAG Laboratories has announced the availability of Plasma FIB services. Additionally, researchers at the University of Maryland have developed a technology to prevent damage in lithium batteries, and researchers at the University of Illinois Urbana-Champaign have found a way to stabilize nanoscale precipitates in alloys. Lastly, researchers at the Fraunhofer Institute have developed a deep learning model for objective and automated assessment of grain size in steel, and Stanford researchers have identified the cause of technical challenges in hydrogen-based steel production. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Failure Analysis & Prevention is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=176080139 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11668-024-01866-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 32 Subjects: – SubjectFull: Materials science Type: general – SubjectFull: Liquid iron Type: general – SubjectFull: Manufacturing processes Type: general – SubjectFull: Iron ores Type: general – SubjectFull: Superionic conductors Type: general Titles: – TitleFull: Product News. Type: main BibRelationships: IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 15477029 Numbering: – Type: volume Value: 24 – Type: issue Value: 1 Titles: – TitleFull: Journal of Failure Analysis & Prevention Type: main |
| ResultId | 1 |
